Abstract
We define multi-self-similar random fields, that is, random fields that are self-similar component-wise. We characterize them, relate them to stationary random fields using a Lamperti-type transformation and study these stationary fields. We also extend the notions of local stationarity and local stationarity reducibility to random fields. Our work is motivated by applications arising from climatological and environmental sciences. We illustrate these new concepts with the fractional Brownian sheet and the Lévy fractional Brownian random field.
Original language | English (US) |
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Pages (from-to) | 397-411 |
Number of pages | 15 |
Journal | Stochastic Models |
Volume | 23 |
Issue number | 3 |
DOIs | |
State | Published - Jul 2007 |
Externally published | Yes |
Keywords
- Fractional Brownian sheet
- Lamperti transformation
- Local stationarity
- Lvy fractional Brownian random field
- Random field
- Reducibility
- Self-similarity
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation
- Applied Mathematics